Is type 1 diabetes a chaotic phenomenon?

Autor: Ginoux, Jean-Marc, Ruskeepää, Heikki, Perc, Matjaž, Naeck, Roomila, Di Costanzo, Véronique, Bouchouicha, Moez, Fnaiech, Farhat, Sayadi, Mounir, Hamdi, Takoua

Publikováno v: Chaos, Solitons & Fractals 111, 198-205 (2018)

A database of ten type 1 diabetes patients wearing a continuous glucose monitoring device has enabled to record their blood glucose continuous variations every minute all day long during fourteen consecutive days. These recordings represent, for each

Externí odkaz: http://arxiv.org/abs/1907.13472

Continuous blood glucose level prediction of Type 1 Diabetes based on Artificial Neural Network

Autor: Ben Ali, Jaouher, Hamdi, Takoua, Fnaiech, Nader, Di Costanzo, Véronique, Fnaiech, Farhat, Ginoux, Jean-Marc

Publikováno v: In Biocybernetics and Biomedical Engineering 2018 38(4):828-840

Analysis of the glycemic evolution of insulin-dependent diabetic patients

Autor: Hamdi, Takoua

Publikováno v: Ordinateur et société [cs.CY]. Université de Toulon; Ecole Nationale des Sciences Informatiques (Tunis), 2019. Français. ⟨NNT : 2019TOUL0004⟩

The main goal of this thesis is to help type 1 diabetes (T1 D) contrai and stabilize blood sugar levels. Fo this, an analysis of the evolution of the blood glucose is necessary, then and after the recording of the blood glucose values using the CGM,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::218c01fff2ff1d721f1320d124e5f899
https://tel.archives-ouvertes.fr/tel-02494566/document

A novel feature extraction method in ECG biometrics.

Autor: Hamdi, Takoua, Ben Slimane, Anis, Ben Khalifa, Anouar

Publikováno v: International Image Processing, Applications & Systems Conference; 2014, p1-5, 5p